Arbeitspapier

Inflation dynamics and forecast: Frequency matters

Policymakers and researchers see inflation characterized by cyclical fluctuations driven by changes in resource utilization and temporary shocks, around a trend influenced by inflation expectations. We study the in-sample inflation dynamics and forecast inflation out-of-sample by analyzing a New Keynesian Phillips Curve (NKPC) in the frequency domain. In-sample, while inflation expectations dominate medium-to-long-run cycles, energy prices dominate short cycles and business-to-medium cycles once expectations became anchored. While statistically significant, unemployment is not economically relevant for any cycle. Out-of-sample, forecasts from a low-frequency NKPC significantly outperform several benchmark models. The long-run component of unemployment is key for such remarkable forecasting performance.

ISBN
978-952-323-378-2
Language
Englisch

Bibliographic citation
Series: Bank of Finland Research Discussion Papers ; No. 8/2021

Classification
Wirtschaft
Forecasting Models; Simulation Methods
Price Level; Inflation; Deflation
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Subject
inflation dynamics
inflation forecast
New Keynesian Phillips Curve
frequency domain
wavelets

Event
Geistige Schöpfung
(who)
Martins, Manuel Mota Freitas
Verona, Fabio
Event
Veröffentlichung
(who)
Bank of Finland
(where)
Helsinki
(when)
2021

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Martins, Manuel Mota Freitas
  • Verona, Fabio
  • Bank of Finland

Time of origin

  • 2021

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